Dataset Versions

v15

2024-01-30 7:35pm

Generated on Jan 30, 2024

Popular Download Formats

Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
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Dataset Split

Train Set 84%
504Images
Valid Set 15%
88Images
Test Set 1%
7Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 608x608

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Shear: ±11° Horizontal, ±9° Vertical
Grayscale: Apply to 23% of images
Hue: Between -21° and +21°
Saturation: Between -34% and +34%
Brightness: Between -22% and +22%
Exposure: Between -14% and +14%
Noise: Up to 1.29% of pixels

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